Nuvix
Open-source Supabase and Appwrite with 3 schema types, auto RLS
Details
- External ID
- 45761307
- Source
- HN
- Company
- —
- Product
- —
- Website domain
- —
- Launched
- Oct. 30, 2025
- Cohort
- —
- Upvotes
- 5
- Upvotes percentile
- 0.10377358490566038
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
I built a full backend-as-a-service platform — solo, in TypeScript — to fix what I hated about Supabase and Appwrite.The Problem - Supabase: Too rigid. One schema model. No flexibility. - Appwrite: Too loose. No RLS. Security is manual.The Solution: 3 Schema Types | Type | Use Case | Security | |------------|-----------------------------------|----------| | `Document` | Rapid prototyping (Appwrite-style) | Manual | | `Managed` | Secure apps (auto RLS + permissions) | *Secure by default* | | `Unmanaged`| Full SQL power (raw Postgres) | None |### Killer Features - *APIs better than PostgREST*: Join tables *without FKs*, filter by nested columns - *Dashboard* (like Supabase Studio) – full CRUD, RLS editor, file browser - *Type-safe SDK* – zero config, full autocomplete - *Bun runtime* – faster than Node.js - *Self-host in 2 minutes* with Docker```bash git clone https://github.com/Nuvix-Tech/nuvix cd nuvix && docker compose up -d ```
Enrichment
- Theme
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- backend-as-a-service alternative
- Manually corrected
- False
Could you build this?
No Building a production-ready Backend-as-a-Service competing with Supabase/Appwrite requires deep systems engineering, distributed database internals, and automatic multi-tenant row-level security parsing.
What it would actually take: A real BaaS engine demands building custom AST parsers/SQL rewriters to enforce multi-model schemas (relational, document, key-value) alongside automated Row-Level Security rules. The architecture requires high-throughput connection pooling, real-time change data capture (CDC via Postgres replication streams or custom WAL listeners), and robust auth/token management. This requires deep systems programming, database query planner internals, and multi-tenant security architecture expertise.
Discussion
1 comment analyzed.
Competitors
Other products that read as similar to this one — 84 launches clear the similarity bar, closest 8 shown.
Attention rank: #82 of 85 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Looks like the first mover among its competitors.
- Typebase · hn · 2026-08-26 · 119 upvotes · similarity 0.52
- Supabase-Test · hn · 2025-11-20 · 30 upvotes · similarity 0.52
- Replacebase · hn · 2026-02-25 · 6 upvotes · similarity 0.50
- Appwrite 2.0 · hn · 2026-08-31 · 5 upvotes · similarity 0.49
- Tinbase · hn · 2026-07-30 · 9 upvotes · similarity 0.49
- Appwrite 2.0 · ph · 2026-09-16 · 242 upvotes · similarity 0.46
- TaruviBase · ph · 2026-09-23 · 2 upvotes · similarity 0.41
- goilerplate · hn · 2025-11-03 · 6 upvotes · similarity 0.41
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.